Papers
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection
Qihang Zhou, Jiangtao Yan, Shibo He et al.
Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning
Haoyi Zhu, Yating Wang, Di Huang et al.
PointMamba: A Simple State Space Model for Point Cloud Analysis
Dingkang Liang, Xin Zhou, Wei Xu et al.
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
Hongyu Sun, Qiuhong Ke, Yongcai Wang et al.
Poisson Variational Autoencoder
Hadi Vafaii, Dekel Galor, Jacob L. Yates
Policy Aggregation
Parand A. Alamdari, Soroush Ebadian, Ariel D. Procaccia
Policy Improvement using Language Feedback Models
Victor Zhong, Dipendra Misra, Xingdi Yuan et al.
Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting
Xiong-Hui Chen, Ziyan Wang, Yali Du et al.
Policy Mirror Descent with Lookahead
Kimon Protopapas, Anas Barakat
Policy Optimization for Robust Average Reward MDPs
Zhongchang Sun, Sihong He, Fei Miao et al.
Policy-shaped prediction: avoiding distractions in model-based reinforcement learning
Miles Hutson, Isaac Kauvar, Nick Haber
Polynomial-Time Computation of Exact $\Phi$-Equilibria in Polyhedral Games
Gabriele Farina, Charilaos Pipis
Poseidon: Efficient Foundation Models for PDEs
Maximilian Herde, Bogdan Raonić, Tobias Rohner et al.
Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure
Hanseul Cho, Jaeyoung Cha, Pranjal Awasthi et al.
Post-Hoc Reversal: Are We Selecting Models Prematurely?
Rishabh Ranjan, Saurabh Garg, Mrigank Raman et al.
Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation
Kyungjin Seo, Junghoon Seo, Hanseok Jeong et al.
PowerGraph: A power grid benchmark dataset for graph neural networks
Anna Varbella, Kenza Amara, Blazhe Gjorgiev et al.
PowerPM: Foundation Model for Power Systems
Shihao Tu, Yupeng Zhang, Jing Zhang et al.
PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond
Chen Song, Zhenxiao Liang, Bo Sun et al.
Practical $0.385$-Approximation for Submodular Maximization Subject to a Cardinality Constraint
Murad Tukan, Loay Mualem, Moran Feldman
Practical Bayesian Algorithm Execution via Posterior Sampling
Chu Xin Cheng, Raul Astudillo, Thomas Desautels et al.
Practical Shuffle Coding
Julius Kunze, Daniel Severo, Jan-Willem van de Meent et al.
Precipitation Downscaling with Spatiotemporal Video Diffusion
Prakhar Srivastava, Ruihan Yang, Gavin Kerrigan et al.
Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks
Chiraag Kaushik, Justin Romberg, Vidya Muthukumar